Triple
T16125080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libercourt |
E391246
|
entity |
| Predicate | localLanguage |
P1252
|
FINISHED |
| Object | Picard |
E349035
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Picard | Statement: [Libercourt, localLanguage, Picard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Picard Context triple: [Libercourt, localLanguage, Picard]
-
A.
Picard
chosen
Picard is a Romance language closely related to French, traditionally spoken in parts of northern France and southern Belgium.
-
B.
Jean-Luc Picard
Jean-Luc Picard is the thoughtful and principled Starfleet captain of the USS Enterprise in the Star Trek franchise, known for his diplomacy, intellect, and moral leadership.
-
C.
Riker
Riker is a surname most prominently associated with the American Riker family, including historical figures in New York such as Abraham Rycken.
-
D.
PICARD
PICARD is a French space mission dedicated to studying the Sun’s structure and variability, particularly solar irradiance and its influence on Earth’s climate.
-
E.
Will Riker
Will Riker is a charismatic Starfleet officer best known as Captain Jean-Luc Picard’s trusted first officer aboard the USS Enterprise in the Star Trek franchise.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020408a88190bf3dfc893d577c55 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2abf9b08190a375abc842a0e7d0 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.